Fakultät für Informatik

Ass.-Prof. Sebastian Schuster, MSc PhD

Sebastian Schuster
Forschungsgruppe Data Mining and Machine Learning
Kolingasse 14-16
1090 Wien
Raum : 02.43
T: +43-1-4277-79515
sebastian.schuster(at)univie.ac.at
Persönliche Homepage
u:cris-Portal

Lehrveranstaltungen

Publikationen

SIGA: A Naturalistic NLI Dataset of English Scalar Implicatures with Gradable Adjectives. / Nizamani, Rashid; Schuster, Sebastian; Demberg, Vera.
2024. 14784-14795 Beitrag in Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024, Hybrid, Torino, Italien.

Veröffentlichungen: Beitrag zu Konferenz › Paper › Peer Reviewed

SpreadNaLa: A Naturalistic Code Generation Evaluation Dataset of Spreadsheet Formulas. / Schuster, Sebastian; Ansar, Ayesha; Agarwal, Om et al.
2024. 15216-15225 Beitrag in Joint 30th International Conference on Computational Linguistics and 14th International Conference on Language Resources and Evaluation, LREC-COLING 2024, Hybrid, Torino, Italien.

Veröffentlichungen: Beitrag zu Konferenz › Paper › Peer Reviewed

Expectations over Unspoken Alternatives Predict Pragmatic Inferences. / Hu, Jennifer; Levy, Roger; Degen, Judith et al.
in: Transactions of the Association for Computational Linguistics, Band 11, 25.07.2023, S. 885-901.

Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed

doi.org/10.1162/tacl_a_00579

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. / BigBench Authors.
in: Transactions on Machine Learning Research, Band 2023, 01.05.2023.

Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed

Entity Tracking in Language Models. / Kim, Najoung; Schuster, Sebastian.
2023. 3835-3855 Beitrag in 61st Annual Meeting of the Association for Computational Linguistics, ACL 2023, Toronto, Kanada.

Veröffentlichungen: Beitrag zu Konferenz › Paper › Peer Reviewed

doi.org/10.18653/v1/2023.acl-long.213

When a sentence does not introduce a discourse entity, Transformer-based models still sometimes refer to it. / Schuster, Sebastian; Linzen, Tal.
2022. 969-982.

Veröffentlichungen: Beitrag zu Konferenz › Paper › Peer Reviewed

doi.org/10.18653/v1/2022.naacl-main.71

I know what you're probably going to say: Listener adaptation to variable use of uncertainty expressions. / Schuster, S.; Degen, J.
in: Cognition, Band 203, 104285, 2020.

Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed

doi.org/10.1016/j.cognition.2020.104285

Heatster: A database and web server for identification and classification of heat stress transcription factors in plants. / Berz, J.; Simm, S.; Schuster, S. et al.
in: Bioinformatics and biology insights, Band 13, 2019.

Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed

doi.org/10.1177/1177932218821365

Sentences with Gapping: Parsing and reconstructing elided predicates. / Schuster, S.; Nivrez, Joakim; Manning, Christopher D.
2018.

Veröffentlichungen: Beitrag zu Konferenz › Paper › Peer Reviewed

Enhanced English universal dependencies: An improved representation for natural language understanding tasks. / Schuster, S.; Manning, Christopher D.
2016. 2371-2378.

Veröffentlichungen: Beitrag zu Konferenz › Paper › Peer Reviewed

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Projekte

Understanding Language in Context

Schuster, Sebastian (Projektkoordinator*in), Roth, Benjamin (Projektleiter*in)
01/04/2025 31/03/2033
Laufend

Vorträge

Entity Tracking in Language Models

Sebastian Schuster
Vortrag
28.11.2025

Can coding agents autonomously implement NLP research extensions?

Sebastian Schuster
The Future of NLP Symposium
Seminar/Workshop, Vortrag
24.11.2025

Can coding agents autonomously implement NLP research extensions?

Sebastian Schuster
Vortrag
13.10.2025

How Well do Large Language Models Encode Context-Sensitive Meaning?

Sebastian Schuster
Oxford Postgraduate Conference in Linguistics
Konferenz, Vortrag
25.6.2025